Evolution of Dispersal in a Structured Metapopulation Model in Discrete Time

Evolution of Dispersal in a Structured Metapopulation Model in Discrete Time
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离散时间结构化元种群模型中的扩散演化

DOI:
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发表时间:
2006
影响因子:
3.5
通讯作者:
K. Parvinen
K. Parvinen
中科院分区:
数学4区
文献类型:
--
作者:
K. Parvinen

文献摘要

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本文引入了一个具有密度依赖局部增长和突变的离散时间结构集合种群模型。定义了稀有突变体在居民设定的环境中的适应度,并给出了一种计算适应度的有效方法。有了这种适应度测度,对该模型进行进化分析就变得可行。这篇文章集中在扩散的演变。研究了灾变、扩散成本和局部动力学对扩散演化的影响。证明了在没有灾变的情况下,如果所有的种群动力学吸引子都是不动点,则在没有扩散的情况下存在选择。还发现了进化分支的一种新机制:即使局部种群规模接近固定点,灾难也会引起足够的时间变异,因此进化分支成为可能。
In this article, a structured metapopulation model in discrete time with catastrophes and density-dependent local growth is introduced. The fitness of a rare mutant in an environment set by the resident is defined, and an efficient method to calculate fitness is presented. With this fitness measure evolutionary analysis of this model becomes feasible. This article concentrates on the evolution of dispersal. The effect of catastrophes, dispersal cost, and local dynamics on the evolution of dispersal is investigated. It is proved that without catastrophes, if all population–dynamical attractors are fixed points, there will be selection for no dispersal. A new mechanism for evolutionary branching is also found: Even though local population sizes approach fixed points, catastrophes can cause enough temporal variability, so that evolutionary branching becomes possible.